最后报名机会 | 重构价值链:AI、数据工具与财富管理的未来式
Refinitiv路孚特·2025-12-01 06:32

Core Insights - The wealth management industry is undergoing unprecedented transformation due to the rapid development of artificial intelligence (AI) and digital technologies, reshaping the competitive landscape through smart advisory, big data analytics, customer service, and risk management [1] Event Details - The London Stock Exchange Group (LSEG) will host a closed-door exchange meeting titled "Reconstructing the Value Chain: The Future of AI, Data Tools, and Wealth Management" on December 5 in Beijing, aimed at industry elites to discuss trends and opportunities in wealth management [1] - The event will feature key speakers including Chen Fang, Managing Director of LSEG North Asia and President of LSEG China, and Bai Lu, Professor at Beijing Normal University, among others [3][4] Agenda Highlights - The agenda includes a welcome speech, keynote presentations on the role of AI in financial digital transformation, and discussions on LSEG's wealth data solutions [3][4] - A panel discussion will feature industry leaders such as Wang Xiaocen from Tiger Brokers and Li Zhuo from Shaanxi International Trust, focusing on insights and experiences in wealth management [3][4] Speaker Profiles - Chen Fang has nearly 20 years of experience in the data and analytics industry, focusing on capital markets, data analysis, and digital transformation [7][8] - Bai Lu is a recognized expert in AI and has contributed to significant advancements in the field, with applications in major Chinese enterprises [9] - Jack Wong serves as a senior financial digital solutions consultant at LSEG, bringing extensive experience in financial technology [10] Wealth Management Solutions - LSEG offers innovative wealth management solutions that provide data, digital tools, and actionable insights to empower wealth advisors and investors [13][20] - The solutions include wealth management workflow tools and flexible data solutions that enhance the client experience and operational efficiency [15][16]